98 lines
		
	
	
		
			3.1 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			98 lines
		
	
	
		
			3.1 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| /**
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|  * @file compareHist_Demo.cpp
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|  * @brief Sample code to use the function compareHist
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|  * @author OpenCV team
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|  */
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| 
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| #include "opencv2/imgcodecs.hpp"
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| #include "opencv2/highgui.hpp"
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| #include "opencv2/imgproc.hpp"
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| #include <iostream>
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| 
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| using namespace std;
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| using namespace cv;
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| 
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| /**
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|  * @function main
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|  */
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| int main( int argc, char** argv )
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| {
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|     Mat src_base, hsv_base;
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|     Mat src_test1, hsv_test1;
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|     Mat src_test2, hsv_test2;
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|     Mat hsv_half_down;
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| 
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|     /// Load three images with different environment settings
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|     if( argc < 4 )
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|     {
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|         printf("** Error. Usage: ./compareHist_Demo <image_settings0> <image_settings1> <image_settings2>\n");
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|         return -1;
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|     }
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| 
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|     src_base = imread( argv[1], IMREAD_COLOR );
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|     src_test1 = imread( argv[2], IMREAD_COLOR );
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|     src_test2 = imread( argv[3], IMREAD_COLOR );
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| 
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|     if(src_base.empty() || src_test1.empty() || src_test2.empty())
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|     {
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|       cout << "Can't read one of the images" << endl;
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|       return -1;
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|     }
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| 
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|     /// Convert to HSV
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|     cvtColor( src_base, hsv_base, COLOR_BGR2HSV );
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|     cvtColor( src_test1, hsv_test1, COLOR_BGR2HSV );
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|     cvtColor( src_test2, hsv_test2, COLOR_BGR2HSV );
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| 
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|     hsv_half_down = hsv_base( Range( hsv_base.rows/2, hsv_base.rows - 1 ), Range( 0, hsv_base.cols - 1 ) );
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| 
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|     /// Using 50 bins for hue and 60 for saturation
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|     int h_bins = 50; int s_bins = 60;
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|     int histSize[] = { h_bins, s_bins };
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| 
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|     // hue varies from 0 to 179, saturation from 0 to 255
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|     float h_ranges[] = { 0, 180 };
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|     float s_ranges[] = { 0, 256 };
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| 
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|     const float* ranges[] = { h_ranges, s_ranges };
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| 
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|     // Use the o-th and 1-st channels
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|     int channels[] = { 0, 1 };
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| 
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| 
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|     /// Histograms
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|     MatND hist_base;
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|     MatND hist_half_down;
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|     MatND hist_test1;
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|     MatND hist_test2;
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| 
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|     /// Calculate the histograms for the HSV images
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|     calcHist( &hsv_base, 1, channels, Mat(), hist_base, 2, histSize, ranges, true, false );
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|     normalize( hist_base, hist_base, 0, 1, NORM_MINMAX, -1, Mat() );
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| 
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|     calcHist( &hsv_half_down, 1, channels, Mat(), hist_half_down, 2, histSize, ranges, true, false );
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|     normalize( hist_half_down, hist_half_down, 0, 1, NORM_MINMAX, -1, Mat() );
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| 
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|     calcHist( &hsv_test1, 1, channels, Mat(), hist_test1, 2, histSize, ranges, true, false );
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|     normalize( hist_test1, hist_test1, 0, 1, NORM_MINMAX, -1, Mat() );
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| 
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|     calcHist( &hsv_test2, 1, channels, Mat(), hist_test2, 2, histSize, ranges, true, false );
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|     normalize( hist_test2, hist_test2, 0, 1, NORM_MINMAX, -1, Mat() );
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| 
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|     /// Apply the histogram comparison methods
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|     for( int i = 0; i < 4; i++ )
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|     {
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|         int compare_method = i;
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|         double base_base = compareHist( hist_base, hist_base, compare_method );
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|         double base_half = compareHist( hist_base, hist_half_down, compare_method );
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|         double base_test1 = compareHist( hist_base, hist_test1, compare_method );
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|         double base_test2 = compareHist( hist_base, hist_test2, compare_method );
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| 
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|         printf( " Method [%d] Perfect, Base-Half, Base-Test(1), Base-Test(2) : %f, %f, %f, %f \n", i, base_base, base_half , base_test1, base_test2 );
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|     }
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| 
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|     printf( "Done \n" );
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| 
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|     return 0;
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| }
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